Quantitative Research Engineer

Quantitative Research EngineerMultiple Levels | Fairfield County, CT | Hybrid$140K–$200K Base | $200K–$325K Total Compensation

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
The OpportunityA global investment firm is expanding its quantitative engineering organization and is hiring Quantitative Research Engineers across multiple levels.These are hands-on engineering roles at the intersection of software, data, AI, and quantitative research. Engineers work closely with quantitative researchers and investment professionals to build the systems used to analyze data, develop and test investment ideas, and support systematic investment strategies.There are opportunities ranging from Associate/Mid-Level through Senior/VP, with scope and compensation aligned to experience.
What You’ll Work OnDepending on your experience and the team you join, your work may include:Building Python-based research and analytical toolsDeveloping large-scale data ingestion, processing, and validation pipelinesBuilding research APIs and cloud-based servicesDeveloping model computation and signal-generation workflowsBuilding optimization, simulation, and backtesting capabilitiesSupporting portfolio and investment research workflowsDesigning scalable AWS-based storage and computing infrastructureWorking with distributed systems, microservices, containers, and cloud infrastructureDeveloping machine learning, NLP, and AI-driven applicationsApplying LLMs and agentic technologies to research and engineering workflowsWorking with large quantitative datasetsDeveloping technology solutions for specialized investment and research needsTranslating open-ended research or business problems into practical technical solutions
What We’re Looking ForWe are interested in strong engineers across a range of experience levels. The most important qualities are strong technical fundamentals, intellectual curiosity, and the ability to solve open-ended problems.
Core qualifications include:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical fieldProfessional experience in software engineering, quantitative programming, or a related technical disciplineStrong Python skillsExperience with SQL and structured dataExperience working with Linux environmentsExperience with AWS or another major cloud platformExperience working with large or complex datasetsStrong understanding of software design, testing, and maintainable codeExposure to scalable applications, distributed systems, APIs, containers, or microservicesExperience with or strong interest in modern AI technologies, including LLMs, AI agents, ML, or NLPAbility to work through ambiguous requirements and determine an effective technical approachStrong communication and collaboration skills
Experience LevelsAssociate / Mid-Level | Approximately 3–5 YearsWe're looking for engineers with strong hands-on development experience who are interested in applying their technical skills to quantitative research and investment problems.Particularly relevant experience includes Python, NumPy, Pandas, SQL, AWS, data engineering, distributed systems, AI/ML, or other technically demanding environments.
Senior | Approximately 7+ YearsSenior engineers will take greater ownership of architecture and complex technical initiatives, working directly with researchers and stakeholders to take ideas from concept through production.We're particularly interested in experience with system architecture, large-scale data processing, distributed systems, cloud infrastructure, production AI/ML, research platforms, or other complex production environments.
Experience in any of the following is a plus:Quantitative researchFinancial markets or fintechInvestment or trading systemsQuantitative developmentSignal generationPortfolio constructionBacktesting and simulationFinancial dataMachine learning infrastructureAI/LLM applicationsHigh-performance or distributed computing
Prior investment-management experience is not required. Strong software engineers from technology, fintech, AI, data, or other technically demanding environments are encouraged to apply.
What Makes This InterestingThe engineering team works directly with quantitative researchers on problems that often don't have a predefined technical solution.Rather than simply receiving specifications, engineers are expected to understand the underlying problem, collaborate with stakeholders, and determine how best to build a scalable and reliable solution.The work provides exposure to quantitative research, financial markets, large-scale data, cloud infrastructure, and applied AI while remaining highly technical and hands-on.
LocationFairfield County, CTHybrid — 2–3 days per week in the officeCompensationThe expected compensation ranges across these openings are:Associate / Mid-Level: $140,000–$160,000 base | $200,000–$225,000 total compensationSenior: $160,000–$190,000 base | $300,000–$325,000 total compensation
Total compensation includes base salary and an annual discretionary bonus. xzbcwsv Actual compensation will vary based on experience, skills, level, and other factors.